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The CMB lensing signal from cosmic voids and superclusters probes the growthof structure in the low-redshift cosmic web. In this analysis, wecross-correlated the Planck CMB lensing map with voids detected in the DarkEnergy Survey Year 3 (Y3) data set ($\sim$5,000 deg$^{2}$), expanding onprevious measurements that used Y1 catalogues ($\sim$1,300 deg$^{2}$). Giventhe increased statistical power compared to Y1 data, we report a $6.6\sigma$detection of negative CMB convergence ($\kappa$) imprints using approximately3,600 voids detected from a redMaGiC luminous red galaxy sample. However, themeasured signal is lower than expected from the MICE N-body simulation that isbased on the $\Lambda$CDM model (parameters $\Omega_{\rm m} = 0.25$, $\sigma_8= 0.8$), and the discrepancy is associated mostly with the void centre region.Considering the full void lensing profile, we fit an amplitude$A_{\kappa}=\kappa_{\rm DES}/\kappa_{\rm MICE}$ to a simulation-based templatewith fixed shape and found a moderate $2\sigma$ deviation in the signal with$A_{\kappa}\approx0.79\pm0.12$. We also examined the WebSky simulation that isbased on a Planck 2018 $\Lambda$CDM cosmology, but the results were even lessconsistent given the slightly higher matter density fluctuations than in MICE.We then identified superclusters in the DES and the MICE catalogues, anddetected their imprints at the $8.4\sigma$ level; again with alower-than-expected $A_{\kappa}=0.84\pm0.10$ amplitude. The combination ofvoids and superclusters yields a $10.3\sigma$ detection with an$A_{\kappa}=0.82\pm0.08$ constraint on the CMB lensing amplitude, thus theoverall signal is $2.3\sigma$ weaker than expected from MICE.

Dark Energy Survey Year 3 results: imprints of cosmic voids and superclusters in the Planck CMB lensing map